Type optimization at scale

Concepts: sqlStorageOptimization

Choosing the right data type isn't just about correctness. It's also about performance and storage efficiency. At scale, poor type choices can waste terabytes of disk space and slow queries by orders of magnitude. Storage Impact VARCHAR vs CHAR Indexing and Type Choice Indexes work best when the type matches the data distribution. String indexes on numeric data are slow because string comparisons are byte-by-byte. String-based comparisons on numeric IDs require byte-by-byte evaluation, while integer comparisons happen in a single CPU operation. This is why numeric types are preferred for join keys and indexed columns. Columnar storage engines like Parquet and ORC benefit most from appropriate numeric types because they apply dictionary encoding and bit-packing more effectively on smaller t